DPP4 inhibition affects metabolism and inflammation associated pathways in hiPSC-derived steatotic HLCs [Vilda]
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples: 3 × ctrl_Vilda vs 3 × OA_Vilda vs 3 × ctrl_DMSO vs 3 × OA_DMSOGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- DPP4 inhibition affects metabolism and inflammation associated pathways in hiPSC-derived steatotic HLCsFrontiers in cell and developmental biology · 2026
Read the full summary ↓
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE310216_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1365319. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM9291506 ctrl_Vilda_1 ctrl_Vilda
- GSM9291507 ctrl_Vilda_2 ctrl_Vilda
- GSM9291508 ctrl_Vilda_3 ctrl_Vilda
- GSM9291509 OA_Vilda_1 OA_Vilda
- GSM9291510 OA_Vilda_2 OA_Vilda
- GSM9291511 OA_Vilda_3 OA_Vilda
- GSM9291512 ctrl_DMSO_1 ctrl_DMSO
- GSM9291513 ctrl_DMSO_2 ctrl_DMSO
- GSM9291514 ctrl_DMSO_3 ctrl_DMSO
- GSM9291515 OA_DMSO_1 OA_DMSO
- GSM9291516 OA_DMSO_2 OA_DMSO
- GSM9291517 OA_DMSO_3 OA_DMSO
- GSE326276 Inhibition of inflammation and senescence with azole compound C7 enables expansion of hematopoietic stem and progenitor cells 45 samples shares inhibition
- GSE254732 Inhibition of PCSK9 with evolocumab modulates lipoproteins and monocyte activation in high-risk ASCVD subjects 215 samples shares inhibition
- GSE275078 In vitro drug screening of RAF/MEK/ERK Inhibitors in combination with Autophagy inhibition in the context of two PDA Cell Lines 136 samples shares inhibition
- GSE268273 Clinical and molecular characterization of steatotic liver disease in the setting of immune-mediated inflammatory diseases 109 samples shares steatotic
- GSE281797 Transcriptomic profiles of liver biopsies in obese patients with metabolic dysfunction-associated steatotic liver disease 94 samples shares steatotic
- GSE266219 Clinical and Immunological Responses to Combined JAK Inhibition and PD-1 immunotherapy for Lung Cancer Patients 79 samples shares inhibition
- GSE304126 CDK8 inhibition sequesters Med1 at EWS-FLI enhancers [RNA-Seq] 68 samples shares inhibition
- GSE268776 Multi-omics approaches reveal that Diffuse Midline Gliomas are susceptible to replication stress therapy and cholesterol biosynthesis inhibition [RNA-seq] 64 samples shares inhibition
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.